How does ungit handle large files or binary data?

To save context space, ungit automatically replaces binary files with placeholders and skips files larger than 100KB, marking them as too large.

Why is XML format used for the output?

XML provides clear delimiters for directory structures and file boundaries, making it significantly easier for LLMs like Claude to navigate and reference specific code blocks within a large context.

Does it support specific branches or tags?

Yes, you can specify a branch by appending @branchname to the repository path, such as 'user/repo@develop'.

Can I filter which files are fetched?

Yes, you can use the --include and --exclude flags with glob patterns to target specific file types like '*.ts' or ignore folders like 'tests'.

What is the ungit skill used for?

It fetches remote GitHub code and formats it specifically for AI models, allowing Claude to analyze repositories without you having to manually copy-paste or clone them.

Ungit GitHub Context Fetcher

Name: Ungit GitHub Context Fetcher
Author: tyom

bytyom

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Developer Tools

Fetches GitHub repository content into LLM-friendly XML format for instant code analysis and reference.

ungit is a specialized tool designed to bridge the gap between remote GitHub repositories and Claude's context window. It allows users to pull specific files, directories, or entire repositories directly into a structured XML format that Claude can easily parse and understand. With support for branch selection, glob-based filtering, and automatic handling of large or binary files, it streamlines the process of analyzing open-source libraries, reviewing remote code, or learning from existing codebases without the need for manual cloning or copy-pasting.